Predictive maintenance model for industrial plants

Development of solutions for the analysis of industrial assets where the actual breakage of the asset involves very high costs for customers. Systems based on predictive maintenance that help to determine whether the machine can continue working or, on the contrary, action must be taken even before the scheduled shutdown.

• Development of SCADA data capture systems.
• Development of models with machine learning and deep learning techniques.
• Integration with the client's systems to display the results.
• Implementation of the model.
• Verification of the suitability of the model recommendations.